Category: project

In order to identify small populations of predators in vast areas, the technology needs to have advanced capabilities across several areas. This research will develop and test a group of […]

Current Machine Learning model evaluation methods, e.g., the use of test sets, will only detect whether a model’s predictions match the data. They cannot exclude the possibility that both predictions […]

Starting March 1st. 2020, the TAIAO Programme has been funded for seven years with a $13m investment from the Ministry of Business Innovation & Employment Data Science platform. The primary […]

In this project, we are developing novel machine learning approaches to analyze recordings of bat calls and leverage the calls as a proxy to identify environmental problems. Animal observations are […]

Influenza is a respiratory disease transmitted through droplets when an infected person coughs or sneezes or via fomites. Globally, seasonal influenza is estimated to cause approximately one billion cases, three […]

We know that plants and animals communicate via smell, but if and how humans communicate non-verbally via small molecules in the air, remains enigmatic. Can we “smell” the feelings of […]

To protect our freshwater for future generations, we develop a framework enabling an understanding of how environmental factors impact our water quality and how mitigation strategies can help. Our project […]

enviPath is both, a database and a prediction system, for the microbial biotransformation of organic environmental contaminants. The database provides the possibility to store and view experimentally observed biotransformation pathways, […]